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Digital Learning For English Learners: A Selected Annotated Bibliography For English Learner Research, Policy, And Practice, Center For Equity For English Learners

Annotated Bibliographies

Digital Learning for English Learners: A Selected Annotated Bibliography for English Learner Research, Policy, and Practice is comprised of 17 annotations from recent and seminal literature regarding digital learning resources for English Learners (ELs) and Multilingual Learners (MLs). These annotations build on the annotations regarding digital learning in CEEL’s 2022 annotated bibliography, Ensuring Equity and Excellence for English Learners: An Annotated Bibliography for Research, Policy, and Practice (Center for Equity for English Learners, 2022) to include publications from 2022-2025. This selected annotated bibliography serves as a resource for researchers, policymakers, educators, and advocates who are working for equity and …

New Hampshire Tcap, Riley Lane

Honors Theses and Capstones

No abstract provided.

The Intersection Of Bias And Practice: Understanding How Adult Beliefs And Ppt Expertise Affect Self-Contained Placement Recommendations In Special Education, Amy M. Martino

Doctor of Education (Ed.D.)

This mixed-methods Improvement Science Dissertation in Practice (ISDiP) examined high rates of segregation for students receiving special education services in an urban district in central Connecticut. A root cause analysis, supported by a review of existing literature, guided the need for intervention given the widening gap between academic achievement and post-secondary outcomes for students with disabilities as compared to their peers at the secondary level. Using an improvement science framework within a convergent mixed-methods design, this study investigated the implementation of a six-week professional learning intervention for high school administrators. The professional learning focused on the facilitation of Planning and …

“We Learned So Much More About Each Other”: Strengthening Student-Educator Relationships Through Culturally Affirming Practices, Ashley R. Routhier

Doctor of Education (Ed.D.)

School connectedness serves as a powerful lever for positive student outcomes. Specifically, student-educator relationships provide well-documented benefits, acting as a protective factor against adverse experiences. However, building and maintaining these relationships remains a complex challenge influenced by site-specific conditions. This challenge is further intensified when accounting for diverse cultural and racial backgrounds. Utilizing an improvement science framework, this qualitative study examined educators’ perceptions as they facilitated culturally affirming social and emotional lessons in a pre-existing advisory block at a magnet high school. Findings indicate that factors at every level of the system shape student-educator relationships. Policies emerged as a critical …

The Acquisition Of English Proficiency By English Language Learners In The Elementary Grades: An Event History Analysis, Elisabete Sousa

Selected Full Text Dissertations, 2011-

It is important that educators develop a deeper understanding of the process by which English Language Learners (ELL) acquire English proficiency. This hypothesis-generating event history study followed 285 Grade K-5 ELLs in a suburban public school district in New York State. Its longitudinal component used Kaplan-Meier techniques to provide a descriptive foundation and then conducted discrete-time event history analyses using binary logistic regression to create parametric life tables, analyze the effects of dual-language instruction and other factors, and estimate transition times between proficiency categories and overall. The cross-sectional component employed ordered logistic regression to analyze selected effects on classification into …

Rise: Renew, Inspire, Strengthen, And Empower: A Healing-Centered Affinity Space, Elba Llantin-Cruz

Doctor of Education (Ed.D.)

This Improvement Science Dissertation in Practice (ISDiP) examined the benefits of a healing-centered affinity community for educators from racially and culturally underrepresented groups in Connecticut. A low rate of educators of color (EOC) impact student achievement and engagement outcomes. Higher attrition rates due to toxic working conditions, microaggressions, and invisible labor negatively impact EOC’s sense of belonging and professional growth. Using the Improvement Science Dissertation in Practice (ISDiP) and a qualitative case study methodology, the researcher implemented a six-week healing-centered professional learning affinity space with four educators who identified as Black or Latina to foster belonging, connections, and well-being while …

From Deference To Dialogue: How International Gtas From High Power Distance Cultures Adapt To U.S. Classroom Dynamics, Deborah Akua Afi Appiah

Theses and Dissertations

International graduate teaching assistants (GTAs) from high power distance cultures play a significant role in undergraduate education at U.S. universities, yet they face challenges that go well beyond language proficiency. Coming from educational backgrounds where teacher authority is unquestioned and hierarchical, these GTAs must navigate American classrooms that operate on fundamentally different assumptions, where authority is earned rather than assumed, informality is the norm, and students expect to question, negotiate, and be personally known by their instructors. The present study examined how eighteen (18) international GTAs from seven (7) high power distance countries perceived and adapted to these differences while …

Family, Stability, Mentors & Money: Student Definitions Of Success, Arturo Caldera

CMC Senior Theses

This research takes a deep dive into the factors shaping marginalized communities’ educational experiences, particularly for low-income Latino students from migrant backgrounds navigating public schooling spaces. Across sixteen qualitative interviews, participant narratives reveal how a systemic lack of resources at the institutional, interpersonal, and structural levels undermines the quality of support students receive and shapes their academic trajectories. Grounded in student-centered practices and informed by scholarship in multicultural education, Chicanx/Latinx studies, feminism, and psychology, this study contributes to ongoing efforts to move beyond deficit-based frameworks and instead recognize the cultural wealth, knowledge, and resilience students bring from their homes and …

Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …

Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani

Journal of Educational Technology Development and Exchange (JETDE)

Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …

Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow

Journal of Educational Technology Development and Exchange (JETDE)

Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …

Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin

Journal of Educational Technology Development and Exchange (JETDE)

Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …

Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin

Journal of Educational Technology Development and Exchange (JETDE)

This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation.  A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that …

A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates university students’ digital competence through a multidimensional and person‑centered analytical framework grounded in bifactor–Exploratory Structural Equation Modeling (B‑ESEM). Digital competence was conceptualized across four functional skill domains and a general competence factor, reflecting contemporary perspectives on technology‑enhanced learning and student readiness. To overcome a common limitation in traditional Latent Profile Analysis (LPA), the conflation of overall competence levels with relative skill configurations, this study employed B‑ESEM–derived factor scores to preserve both hierarchical structure and multidimensionality. Using data from 599 university students, a four‑profile solution emerged, capturing distinct patterns of digital skill strengths and weaknesses. Gender and programming …

Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán

Journal of Educational Technology Development and Exchange (JETDE)

This systematic review, conducted in accordance with PRISMA 2020 guidelines, examines the ethical dilemmas associated with the use of Generative Artificial Intelligence (GAI) in education and analyses their implications for the achievement of Sustainable Development Goal 4 (SDG 4), with a focus on inclusive and equitable quality education. The review draws on 24 peer-reviewed studies published between December 2022 and December 2024, covering diverse educational levels and geographical contexts, with a predominance of Global North perspectives and limited representation from the Global South. The analysis reveals four primary themes: academic integrity, algorithmic equity, data privacy, and the potential contribution of …

Redefining Educational Technology: A Critical Collaborative Inquiry, Aras Bozkurt, Helen Crompton, Robert Farrow, Agnes Kukulska-Hulme, Jon Dron, Richard West, Agnieszka (Aga) Palalas, Matth Bower, Junhong Xiao, Ahmed Tlili, Danah Henriksen, Angelica Pazurek, Henk Huijser, Thomas K. F. Chiu, Petar Jandrić, Katy Jordan, John Curry, Royce Kimmons, Mutlu Cukurova, Thomas Reeves, Gwo-Jen Hwang, Peter Shea, Jason Lodge, Martin Weller, Davy Ng, Tutaleni Iita Asino

STEMPS Faculty Publications

Educational technologists have not settled on a fixed definition of the field and likely never will. However, attempting to define the field helps to understand the epistemological meanings that shape what the field sees, values, and considers worth pursuing. Through a critical historical review spanning over a century, alongside theoretical engagement with the concepts of entanglement and distributed agency, this paper identifies three key insufficiencies in current educational technology frameworks. These are the persistence of an instrumental-facilitative paradigm that treats technology as a resource deployed by human agents; the theoretical dissolution of the pedagogy-technology dichotomy that existing definitions have not …

Cultivating Positive Emotion Through Gratitude: A Mixed-Methods Study Of World Language Teachers, Allyson Magrath Power

Doctor of Education (Ed.D.)

Teacher well-being is an increasingly urgent concern, particularly in shortage-area subjects such as World Languages. This study examined whether a structured gratitude intervention could support the well-being and resilience of World Language teachers. Using a convergent mixed-methods design, the study collected quantitative and qualitative data from participants who completed weekly gratitude journaling across four themes: Acknowledgment, Attention, Appreciation, and Action. Quantitative findings revealed a positive trend on the Gratitude Questionnaire, with results approaching statistical significance, suggesting a meaningful improvement in participants’ positive emotions. Qualitative analysis indicated increased emotional awareness, more intentional self-care practices, and greater reflection on supportive relationships in …

An Imperative For Leadership & Institutional Transformation: Going Back To Code, Jonikka Charlton

Writing and Language Studies Faculty Publications

No abstract provided.

Ai In Pk-12 Education: Implications For Teaching And Learning, David Naff, Meleah Ellison, Casey Bailey, Tzu-Wei Wang, Kiana Bradford

MERC Publications

This research and policy review from the Metropolitan Educational Research Consortium (MERC) explores the implications of artificial intelligence (AI) for teaching and learning in public PK-12 education. It is part of a two part series with a companion report focused on AI implications for PK-12 policy. The report explores two questions:

1. How is AI shaping teaching and instructional practice?
2. How is AI shaping student learning and development?

It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.

Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola

Journal of Educational Technology Development and Exchange (JETDE)

Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a scoping review of empirical studies on LLM-based AIG for STEM assessments, published between January 2022 and January 2026. A structured search of ERIC, Lens and OpenAlex yielded 1,267 records; after deduplication and screening, 7 studies were retained for synthesis. In all studies, LLMs were primarily …

Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha

Journal of Educational Technology Development and Exchange (JETDE)

Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …

Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the longitudinal impact of AI-supported writing analytics on academic literacy in multilingual higher education. Using a quasi-experimental design over two semesters with 124 undergraduates, the treatment group employed a GPT-based analytics tool, while the control group relied on conventional feedback. Using a longitudinal quasi-experimental design and repeated-measures analyses, the study found significant group effects and significant Group × Time interactions, indicating that the treatment group achieved larger and more sustained gains in academic literacy. Process-oriented indicators and learning analytics further showed a shift from surface editing to global revision, accompanied by deeper metacognitive engagement.

Guidelines For Automatic Grading Of Student Essays Using Large Language Models, Diwakar Yalpi, Sruta Keerti Kasula, Ravi Mukkamala

Computer Science Faculty Publications

Automated essay evaluation using large language models (LLMs) has emerged as a promising approach to support scalable and consistent educational assessment. However, the effectiveness of LLM-based grading varies significantly across evaluation dimensions and is highly influenced by prompt design and model selection. In this study, we evaluate five state-of-the-art LLMs across five rubric-based categories: Relevance to Question, Reasoning and Critical Thinking, Evidence and Examples, Organization, and Clarity and Writing Quality. We systematically investigate the impact of three prompting strategies, including rubric-only prompting, exemplar-based prompting (with and without rubric guidance)(Original and Refined prompt designs) incorporating structured instructions. Additionally, a prompt ablation …

Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms, Steven Baule, Dillon Martinnez

Essays in Education

Generative artificial intelligence (AI) deep search tools, such as ChatGPT’s Deep Research, Google’s Gemini Deep Search, Perplexity Research, Claude’s extended search, and emerging academic engines like Elicit and Consensus, are reshaping the ways students and educators locate, evaluate, and synthesize information. These tools promise to democratize research and reduce barriers to high-quality sources, particularly in K–12 environments where time, instructional capacity, and access to resources vary widely. However, recent analyses reveal significant challenges: inaccuracies, opaque algorithms, hallucinated facts, and inconsistencies across platforms. Using classroom-relevant examples and controlled experiments, including ambiguous historical searches and complex educational policy queries, this article examines …

Advancing Data Extraction Workflows For Single-Case Design Meta-Analysis Using Large Language Models, Yaosheng Lou

Electronic Theses & Dissertations (2024 - present)

Single-case experimental designs (SCEDs) are a form of longitudinal research that is particularly valuable for studying marginalized and underrepresented populations. Meta-analysis plays an essential role in synthesizing evidence across studies and enhancing the generalizability of findings. However, as interest in SCEDs grows and the evidence base expands, conducting meta-analyses has become increasingly labor-intensive and time-consuming. This dissertation addresses these challenges by examining the applicability of large language models (LLMs) for data extraction and meta-analytic dataset compilation in the context of SCED meta-analysis. Because LLM performance is influenced by model selection, prompt design, and the specific materials being extracted, this dissertation …

The Impact Of Flight Instructor Feedback On Subsequent Instructor Evaluations Of Student Performance, Ayhan Rozyyev, Jennifer E. Thropp

Journal of Aviation/Aerospace Education & Research

This study examines the impact of feedback tone and feedback order on flight instructors’ evaluations of student performance in an aviation training context. Using a 2×2 mixed factorial design, 40 certified flight instructors reviewed fictitious training records and rated students based on feedback that varied in tone (positive vs. negative) and order (positive-first vs. negative-first). Results showed that positive feedback significantly influenced evaluations across all measured dimensions, while feedback order had no significant effect, challenging assumptions about primacy and recency effects. These findings highlight the role of positive reinforcement in shaping instructor evaluations and suggest that structured training environments can …

Systematic Review Of Early Childhood And Pre-Primary Education, Anna Dabrowski, Yung Nietschke, Syeda Kashfee Ahmed, Michelle Hsien, Dan Cloney, Tim Friedman

Early Childhood Education

This systematic review synthesises global evidence from academic and grey literature published between 2015 and 2025, examining effective policies and interventions aimed at increasing ECCE participation across diverse country contexts, with a focus on equity dimensions such as gender, disability, socio-economic status and geographic location. The multifaceted nature of increasing ECCE participation is highlighted, exploring institutional, interventionist, preventative, and compensatory policies as per the GEM policy typology, while emphasising equity, quality, and contextual factors. These categories reflect the different levels and areas within which policies operate, noting that in practice, approaches to increase ECCE participation often are combined or overlap.

Contextual Influences On Algebra 1 Achievement In Florida: A Multilevel Analysis Of Fsa Data And Policy Implications For B.E.S.T., Alberto Leiro Jr

Graduate Studies Theses and Dissertations 2026

This study examined how school-level and district-level contextual factors are associated with Algebra 1 achievement in Florida using a multilevel modeling framework. Drawing on statewide publicly available data from the Florida Standards Assessments (FSA), the analysis included schools nested within districts to account for the hierarchical structure of educational data. School-level predictors included absenteeism, economic disadvantage, English language learner status, student mobility, and the proportion of students with disabilities, while district-level variables included poverty and crime rates. Results from the null model indicated that a meaningful proportion of variance in Algebra 1 achievement was attributable to differences among districts, supporting …

Critical Discourse Analysis Of Nil Policies: Examining Institutional Control And Economic Opportunities For Division I Football Athletes In Power Four Universities, Allen T. Alvarez

Theses and Dissertations--Educational Policy Studies and Evaluation

The adoption of Name, Image, and Likeness (NIL) policies has redefined the economic landscape of collegiate athletics, expanding opportunities for student-athletes and reshaping institutional authority. This dissertation nvestigates how NIL policy language at Division I universities frames economic possibilities for football student-athletes and sustains systems of governance. Through a Critical Discourse Analysis of policy documents from Power Four and mid-major institutions, this study reveals that NIL participation is persistently conditioned by institutional approval, compliance monitoring, and ambiguous definitions, especially regarding boosters and collectives.

Policy language presents NIL as an opportunity but embeds institutional control through oversight structures. The analysis further …

The Operationalization Of Student Success: How Institutions And Divisions Of Student Affairs Define And Align Non-Academic Student Success With External Accountability Expectations, Madeline N. Trudeau

Theses and Dissertations--Educational Policy Studies and Evaluation

This qualitative multi-case study investigates how higher education institutions and their divisions of student affairs publicly discuss and define non-academic student success through their strategic planning, within the context of external pressures from state legislatures and accrediting bodies. Grounded in Organizational Learning Theory, Transition Theory, and Theory of Student Involvement and Engagement, this study analyzes the alignment and divergence between external policy expectations and internal institutional and divisional strategic plans.

The findings reveal a fundamental tension; while external stakeholders increasingly demand quantifiable outcomes tied to economic productivity - like post-graduate wages and employability metrics - divisions of student affairs continue …